Justin T. Reese

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Biological Knowledge

Top Venues

Int. J. Medical Informatics

Publications

Lauren E. Chan, Elena Casiraghi, Justin T. Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde, Giorgio Valentini, Charles Schmitt, Alison A. Motsinger-Reif, Janet E. Hall, Christopher J. Mungall, Peter N. Robinson, Melissa A. Haendel
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int. J. Medical Informatics 187 (2024)
Tudor Groza, J. Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall, Justin T. Reese
An evaluation of GPT models for phenotype concept recognition. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
J. Harry Caufield, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, Hyeongsik Kim, Sierra A. T. Moxon, Justin T. Reese, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. Bioinform. 40 (3) (2024)
Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) (2024)
Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Christopher J. Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
Initial achievements in relation extraction from RNA-focused scientific papers. SEBD (2024)
Luca Cappelletti, Stefano Taverni, Tommaso Fontana, Marcin P. Joachimiak, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) (2023)
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023)
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini
GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. 3 (6) (2023)
Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Marco Mesiti, Mauricio Soto Gomez, Alberto Cabri, Justin T. Reese, Elena Casiraghi, Peter N. Robinson
The promises of large language models for protein design and modeling. Frontiers Bioinform. 3 (2023)
Emanuele Cavalleri, Alberto Cabri, Mauricio Soto Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J. Callahan, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. CoRR (2023)
Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin T. Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson
An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinform. 39 (4) (2023)
J. Harry Caufield, Tim E. Putman, Kevin Schaper, Deepak R. Unni, Harshad Hegde, Tiffany J. Callahan, Luca Cappelletti, Sierra A. T. Moxon, Vida Ravanmehr, Seth Carbon, Lauren E. Chan, Katherina Cortes, Kent A. Shefchek, Glass Elsarboukh, James P. Balhoff, Tommaso Fontana, Nicolas Matentzoglu, Richard M. Bruskiewich, Anne E. Thessen, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall, Justin T. Reese
KG-Hub - Building and Exchanging Biological Knowledge Graphs. CoRR (2023)
Nicolas Matentzoglu, J. Harry Caufield, Harshad B. Hegde, Justin T. Reese, Sierra A. T. Moxon, Hyeongsik Kim, Nomi L. Harris, Melissa A. Haendel, Christopher J. Mungall
MapperGPT: Large Language Models for Linking and Mapping Entities. CoRR (2023)
Luca Cappelletti, Tommaso Fontana, Justin T. Reese, David A. Bader
Billion-scale Detection of Isomorphic Nodes. IPDPS Workshops (2023)
Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR (2023)
J. Harry Caufield, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, HyeongSik Kim, Sierra A. T. Moxon, Justin T. Reese, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning. CoRR (2023)
Tudor Groza, J. Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Chris Mungall, Justin T. Reese
An evaluation of GPT models for phenotype concept recognition. CoRR (2023)
Anne E. Thessen, Laurel Cooper, Tyson L. Swetnam, Harshad Hegde, Justin T. Reese, Justin Elser, Pankaj Jaiswal
Using knowledge graphs to infer gene expression in plants. Frontiers Artif. Intell. 6 (2023)
Marcin P. Joachimiak, Harshad Hegde, William D. Duncan, Justin T. Reese, Luca Cappelletti, Anne E. Thessen, Christopher J. Mungall
KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information. ICBO (2021)
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini
GraPE: fast and scalable Graph Processing and Embedding. CoRR (2021)
Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. CoRR (2021)
Justin T. Reese, Deepak R. Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent A. Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. Patterns 2 (1) (2021)
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin T. Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8 (2020)
Kent A. Shefchek, Nomi L. Harris, Michael A. Gargano, Nicolas Matentzoglu, Deepak R. Unni, Matthew H. Brush, Dan Keith, Tom Conlin, Nicole A. Vasilevsky, Xingmin Aaron Zhang, James P. Balhoff, Larry Babb, Susan M. Bello, Hannah Blau, Yvonne M. Bradford, Seth Carbon, Leigh Carmody, Lauren E. Chan, Valentina Cipriani, Alayne Cuzick, Maria G. Della Rocca, Nathan A. Dunn, Shahim Essaid, Petra Fey, Christian A. Grove, Jean-Philippe F. Gourdine, Ada Hamosh, Midori A. Harris, Ingo Helbig, Maureen E. Hoatlin, Marcin P. Joachimiak, Simon Jupp, Kenneth B. Lett, Suzanna E. Lewis, Craig McNamara, Zoë May Pendlington, Clare Pilgrim, Tim E. Putman, Vida Ravanmehr, Justin T. Reese, Erin Rooney Riggs, Sofia M. C. Robb, Paola Roncaglia, James Seager, Erik Segerdell, Morgan Similuk, Andrea L. Storm, Courtney Thaxon, Anne E. Thessen, Julius O. B. Jacobsen, Julie A. McMurry, Tudor Groza, Sebastian Köhler, Damian Smedley, Peter N. Robinson, Christopher J. Mungall, Melissa A. Haendel, Monica C. Munoz-Torres, David Osumi-Sutherland
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species. Nucleic Acids Res. 48 (Database-Issue) (2020)
Brandi L. Cantarel, Daniel Weaver, Nathan McNeill, Jianhua Zhang, Aaron J. Mackey, Justin T. Reese
BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity. BMC Bioinform. 15 (2014)
Christopher P. Childers, Justin T. Reese, Jaideep P. Sundaram, Donald C. Vile, C. Michael Dickens, Kevin L. Childs, Hanni Salih, Anna K. Bennett, Darren E. Hagen, David L. Adelson, Christine G. Elsik
Bovine Genome Database: integrated tools for genome annotation and discovery. Nucleic Acids Res. 39 (Database-Issue) (2011)
Monica C. Munoz-Torres, Justin T. Reese, Christopher P. Childers, Anna K. Bennett, Jaideep P. Sundaram, Kevin L. Childs, Juan M. Anzola, Natalia Milshina, Christine G. Elsik
Hymenoptera Genome Database: integrated community resources for insect species of the order Hymenoptera. Nucleic Acids Res. 39 (Database-Issue) (2011)